4 of 4 Contract Amazon Neptune Jobs in London

issues that cause agent output failures or knowledge retrieval errors Full Technical Skills: Graph Database Technologies Graph Platforms Query Languages Graph Modelling Neo4j (Enterprise) Amazon Neptune Stardog GraphDB (Ontotext) TigerGraph Azure Cosmos DB (Gremlin API) Cypher SPARQL 1.1 Gremlin GQL (ISO standard) openCypher SPARQL Update Property graph modelling … Integration Cloud Platforms Governance & Operations RAG architecture design GraphRAG implementation Vector database integration LLM knowledge grounding Semantic retrieval design Agent knowledge API design AWS (Neptune, Glue, S3, Lambda) Azure (Cosmos DB, Synapse) GCP (Vertex AI, BigQuery) Terraform/IaC Docker/Kubernetes CI/CD pipeline management Graph performance ...

Responsibilities Build and optimise ETL/ELT pipelines for knowledge graphs and other data sources. Design and manage graph databases such as Neo4j, AWS Neptune, and ArangoDB. Develop semantic data models using RDF, OWL, and SPARQL. Integrate structured, semi-structured, and unstructured data into knowledge graph systems. Ensure data ...

query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp ...

analysis Subsumption reasoning Tooling & Platforms Ontology Editors Triple Stores Version Control Protege TopBraid Composer PoolParty Semaphore VocBench Apache Jena/Fuseki Stardog GraphDB (Ontotext) Amazon Neptune Virtuoso Git-based ontology versioning ROBOT (ontology build tool) Ontology diff tooling CI/CD for ontology pipelines Change log governance Knowledge ...